- Model Deployment
- Machine Learning
- MLOps (Machine Learning Operations)
- Python Programming
- Pandas (Python Package)
- Application Programming Interface (API)
- Scripting
- Object Oriented Programming (OOP)
- Data Import/Export
- Test Automation
- Command-Line Interface
- Data Structures
Python Essentials for MLOps
Completed by Amiteshwar Sidhu
June 6, 2024
43 hours (approximately)
Amiteshwar Sidhu's account is verified. Coursera certifies their successful completion of Python Essentials for MLOps
What you will learn
Work with logic in Python, assigning variables and using different data structures.
Write, run and debug tests using Pytest to validate your work.
Interact with APIs and SDKs to build command-line tools and HTTP APIs to solve and automate Machine Learning problems.
Skills you will gain
